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Accessing and using real-world study data: a Stata-based introduction for newcomers to longitudinal research

6 Mar 2023 - 23 Mar 2023 1:00 pm - 2:00 pm
Online
Training
Data skills
Workshop

Are you new to using longitudinal population study data, or are you looking to use ‘real-world’ datasets for the first time? Perhaps you are looking to use longitudinal population study datasets for your dissertation but are unsure where to start?

This course comprises a series of introductory workshops for students facing the challenges of using ‘real-world’ datasets. This course was designed to help you become familiar with the basics of data access, how to clean and prepare datasets, and how to use, report and interpret outputs of analysis. It uses real datasets from longitudinal population studies as guided examples, with interactive quizzes and hands-on analysis tasks to help you become confident in using real-world longitudinal datasets.

Prerequisites: This course is aimed at undergraduates or recent postgraduates with some knowledge of Stata and a basic understanding of statistical techniques.

Timing

The course commences the week beginning 6 March 2023 and includes three 60-minute webinars on consecutive weeks: Wednesday 8 March; Wednesday 15 March and Thursday 23 March 2023 from 13.00-14.00 GMT. It requires 6-8 hours study, including participation in the webinars.

What prior knowledge do I need?

The content of the course assumes some knowledge of basic statistical techniques (descriptive statistics, regression modelling) and requires some previous experience of using Stata (some familiarity with basic commands). It is suitable for undergraduate-level students and would be particularly useful for students with some quantitative experience. There will be some preparatory reading to do before each session.

How do I use the course?

You will need to register and log-in in advance of the sessions to confirm your participation and to access the course materials. Once you have registered you will be instructed on how to create a free UK Data Service account so that you can access and download the datasets used in the course.

Course team

  • Dr Neil Kaye, Research Fellow at CLOSER, UCL Institute of Education
  • Beate Lichtwardt, Senior Training and Support Officer at UK Data Service
  • Charlotte Campbell, Research Fellow at CLOSER, UCL Institute of Education

Further information

More information is available on the CLOSER website.

If you have any questions or require further information about this course, please contact the CLOSER Digital Communications and Events Manager, Jennie Blows at j.blows@ucl.ac.uk